Product analytics case studies: A/B tests, retention, segmentation, dashboards. Filter by sphere, category and stack.
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Experiments
Fixed a neobank's onboarding bottleneck with an A/B test: +5.72pp KYC conversion, €208.5K in 12 mo at 13.9× ROI. 23 projects: funnel → A/B → retention → segmentation → Market & Jobs → RAT v2 → causal.
Experiments
18 A/B modules, each calibrated: CUPED cuts variance 17.7% (SE 0.00360 → 0.00327), the delta method finds a +0.51 pp CTR lift at p < 0.0001, and SRM p = 0.8376.
Experiments
10 playable mini-games as self-contained SVGs: 7 analytics (A/B to p<0.05, funnel drop, cohort catch, retention day) and 3 arcade. One file per game, zero dependencies, no build.
Experiments
CUPED cut the standard error by 26% — same power on 5.5k users per arm instead of 10k — and a pre-registered break-even threshold of 0.05 ships the campaign to new users only.
Experiments
CRM experiment: segment-stage randomization holds SRM at p=0.266, GCG uplift reaches +0.9968 purchases per user, and the net effect is +50.5 per 1,000 sends once unsubscribes are priced in.
Experiments
A Telegram bot for the analyst without BI: a raw CSV export becomes p-value, lift and 95% CI in 30 seconds — 12 commands, history and HTML export.
Analytics
A Streamlit dashboard for AI sales calls on 16,891 synthetic calls: a 4-step funnel (greeting → offer → meeting → qualification), leak breakdown by type, and transcript drill-down.
Analytics Real + synthetic
26 SQL cases: 25 on a synthetic ~183k-event dataset + 1 real-data case on UCI Online Retail II. Funnel, retention, LTV, attribution, anomalies, dbt layer on DuckDB, live report on GitHub Pages.
Analytics
A 550,710-row day × city × channel × category aggregate: DuckDB star schema, rolling-origin order forecast, delivery bottlenecks, 14 window SQL queries and an offline dashboard for three roles.
Analytics Real data
An injected −10% GMV drop on real UCI Online Retail II data: the metric tree attributes 56.2% of the named drop to UK decile-1 and the full attribution reconciles to £0.00.
Analytics
A synthetic classifieds marketplace with a planted answer key: the sell-through proxy misses by 21.4%, an EM correction brings every category inside 3 pp, and paid visibility fails its holdout.
Analytics
Segmented a bank's clients into 6 RFM segments: the top 20% hold 38.2% of revenue (Gini 0.324). Synthetic dataset — 1,983 clients, 9,492 transactions.
Analytics
Python inside Tableau: 4 cohort calculations on a TabPy server and 65 tests; a triangular retention matrix with per-cohort ARPU and LTV, an observation-age caveat and a CSV + Hyper export.
Analytics
A leakage-free churn model: recall@top-10% 0.544, 5.44x lift at 0.916 ROC-AUC on a chronological split; 1.75x on the at-risk subgroup, where 69.7% of the cohort is a near-guaranteed negative.
Analytics
RAG pipeline with an offline harness: recall@5 and MRR = 1.00 on 20 questions, correctness 0.37, 0.00 on retrieval-miss control set. TF-IDF, no API keys; faithfulness ≡1.00 — an extractive invariant.
Analytics
≥80% pytest coverage on a module-based Python analytics toolkit: loading, cleaning, EDA and visualization assembled into one reusable pipeline — the base I copy into every new analysis.
Analytics
On a synthetic log, two policies on one information set: money buys +34.45% revenue per search for −16.84% CTR, while the user_id rollout returns −14.26% and a do-not-ship verdict.
Analytics
A leak-free scikit-learn pipeline: all preprocessing in one ColumnTransformer fit on the train split only, a deterministic split, and 21 tests (7 + 9 + 5) guarding reproducibility.
Analytics
Analytics on my own LinkedIn posts: one parser, four renderers. Formats are compared with confidence intervals — and noise is called noise, not a ranking.
Analytics
Promo returns +68.5 m RUB of revenue but −24.4 m RUB of profit: 97.9% of waves lose money at a 1.0–19.5% breakeven vs 25.4% actual, and the optimiser earns +231 496 ₽ vs +136 648 ₽ for top-15%.
Analytics
A 12 000 → 9 623 → 3 384 funnel and A/B on 2 552 users: onboarding lifts activation → paid by 19.59% (p=0.000946), verdict SHIP; at an equal step, conversion adds 10.00% to LTV, retention 8.65%.
Product
Full-stack analytics on Supabase: an A/B on a seeded event stream lifted conversion +11.1pp (p ≈ 1.7e-10, chi-square), with a Streamlit dashboard reading live data through RLS.
Product
Onboarding test on a seeded event stream: completion 55.9% → 70.8% (+26.6%), χ² = 40.10, p < 0.0001 at SRM p = 0.90; 6.3% of completed signups reach a paid upgrade.
Product
A product analytics dashboard on a synthetic SaaS dataset (8,000 users): AARRR funnel, cohort retention, revenue (MRR, ARPU, churn) and segmentation — 5 Streamlit pages.
Engineering
Nine SQL cases on 50 million events plus an optimisation that leaves the query text untouched: a projection reads a key range instead of a full scan, and seven DuckDB twins cross-check every case.
Engineering
A scrollytelling guide to spoken English for workplace conversations (A2–B1): an MDX narrative with D3 visualizations, content and visuals decoupled. Built on Astro 6.
Engineering
Notes linked into a network, not a feed: a digital garden about emotional intelligence in IT on Quartz v4 — backlinks and a graph turn note accumulation into a navigable structure.
Engineering
A report platform on Airflow 3: the full DAG runs in 440 s and the forecast task alone takes 413 s; every report is a versioned DAG with DQ validation, alerts and run metrics.
Engineering Real data
A static catalog of 47 open repositories: GitHub metadata is synced by a script into frontmatter and the build reads only that — 15 fields per project, 26 tests and an idempotent render.
Engineering
Rebuilt a conference programme page: a time × hall grid over 91 talks, track filters, a modal and .ics export — then checked the copy against the original with measurements, not eyeballing.
Engineering
The site you are reading: Astro 7, TypeScript and Markdown content collections, static output, dark/light theme, RSS, sitemap, JSON-LD and GitHub Pages deployment.